Taxi cab service optimization using spatio-temporal implementation to hot-spot analysis with taxi trajectories

Yun, Sung Bum; Yoon, Sang Hyun; Ju, Sungha; Oh, Won Seob; Won, Jong; Heo, Joon

doi:10.1145/3004725.3004732

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A1 Zero Emission Zone Implementation1

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Cited by 12 publications

(2 citation statements)

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“…The taxi cab ride data includes 7,000 distinct taxis operating in Seoul, South Korea. The inefficiency of incidental traveling empty taxis causes not only a waste of energy but also environmental issues such as air pollution (Yun et al, 2016).…”

Section: A1 Zero Emission Zone Implementationmentioning

confidence: 99%

Fuzzy Einstein WASPAS approach for the economic and societal dynamics of the climate change mitigation strategies in urban mobility planning

Deveci

Pamučar

Gökaşar

et al. 2022

Structural Change and Economic Dynamics

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Section: A1 Zero Emission Zone Implementationmentioning

confidence: 99%

Fuzzy Einstein WASPAS approach for the economic and societal dynamics of the climate change mitigation strategies in urban mobility planning

Deveci

Pamučar

Gökaşar

et al. 2022

Structural Change and Economic Dynamics

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“…Authors in [30] used a negative binomial regression model to identify the mismatch between the demand for taxi service and the availability of taxis over different regions of New York city at different daily periods. Authors in [32] used two types of hot spots to identify S-D mismatch in Seoul (Korea): 1. hot spots of free taxis routes representing taxi service supply, and 2. hot spots of points where free taxis become occupied as an indicator of the demand. Supply and demand hot-spots maps are visually compared to evaluate and identify S-D mismatched zones.…”

Section: State Of the Artmentioning

confidence: 99%

A Connected Mobility Scheme for Taxi Supply-Demand Balancing in a Smart City Context

Haddad,

Bouyahia,

Horchani

et al. 2022

cai

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In this paper we present the preliminary results of simulation-based experiments of an integrated scheme that has been proposed to control taxi supplydemand imbalance in the context of a smart city with multiple taxi operators and using Connected Mobility. We particularly explore the difference between centralized and decentralized implementations of the scheme as well as between collabora-A Connected Mobility Scheme for Taxi Supply-Demand Balancing 551 tive and competitive attitudes of connected taxis. Our results show that by sharing knowledge about supply-demand imbalance and adopting a collaborative attitude, connected taxi systems can improve the performance of the service across a city by achieving a better supply-demand service balancing while improving their profits.

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Daily estimation of NO2 concentrations using digital tachograph data

Joo,

Nguyen

et al. 2024

Environ Monit Assess

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Taxi cab service optimization using spatio-temporal implementation to hot-spot analysis with taxi trajectories

Cited by 12 publications

References 7 publications

Fuzzy Einstein WASPAS approach for the economic and societal dynamics of the climate change mitigation strategies in urban mobility planning

Fuzzy Einstein WASPAS approach for the economic and societal dynamics of the climate change mitigation strategies in urban mobility planning

A Connected Mobility Scheme for Taxi Supply-Demand Balancing in a Smart City Context

Daily estimation of NO2 concentrations using digital tachograph data

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